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bayesian framework

43 papers

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Co-occurring keywords

bayesian inference (1907) variational inference (2069) generative model (2892) large language model (13587) gaussian process (1200) probabilistic modeling (852) perceptual decision making (6) robust principal component analysis (62) stochastic variational inference (59) latent variable model (564)

Papers

Automorphing Kernels for Nonstationarity in Mapping Unstructured Environments CORL 2018
MRLR: Multi-level Representation Learning for Personalized Ranking in Recommendation IJCAI 2017
Model-Based Iterative Restoration for Binary Document Image Compression With Dictionary Learning CVPR 2017
Noise-Blind Image Deblurring CVPR 2017
Answer-Type Prediction for Visual Question Answering CVPR 2016
Conditional Graphical Lasso for Multi-Label Image Classification CVPR 2016
Saliency Detection via Cellular Automata CVPR 2015
Falling Rule Lists AISTATS 2015
A Bayesian Framework for Modeling Confidence in Perceptual Decision Making NIPS 2015
Robust Principal Component Analysis with Complex Noise ICML 2014
A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input NIPS 2014
Gaussian Process Conditional Copulas with Applications to Financial Time Series NIPS 2013
Proportion Priors for Image Sequence Segmentation ICCV 2013
A Joint Model for 2D and 3D Pose Estimation from a Single Image CVPR 2013
Sparse Additive Matrix Factorization for Robust PCA and Its Generalization ACML 2012
EigenNet: A Bayesian hybrid of generative and conditional models for sparse learning NIPS 2011
Sequential effects: Superstition or rational behavior? NIPS 2008
Relational Learning with Gaussian Processes NIPS 2006